Search results for "Learning problems"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
3	Hisashi Handa	EDA-RL: estimation of distribution algorithms for reinforcement learning problems.	GECCO	2009	DBLP DOI BibTeX RDF	reinforcement learning problems, estimation of distribution algorithms, conditional random fields
2	Benny Applebaum, David Cash, Chris Peikert, Amit Sahai	Fast Cryptographic Primitives and Circular-Secure Encryption Based on Hard Learning Problems.	CRYPTO	2009	DBLP DOI BibTeX RDF	Key-dependent message security, Learning problems, Encryption, Lattice-based cryptography
2	Hisashi Handa	Evolutionary Computation on Multitask Reinforcement Learning Problems.	ICNSC	2007	DBLP DOI BibTeX RDF
2	Sudipto Guha, Kamesh Munagala	Approximation algorithms for budgeted learning problems.	STOC	2007	DBLP DOI BibTeX RDF	algorithms, learning, approximation
2	Thomas Degris, Olivier Sigaud, Pierre-Henri Wuillemin	Learning the structure of Factored Markov Decision Processes in reinforcement learning problems.	ICML	2006	DBLP DOI BibTeX RDF
2	Gao Daqi, Li Jie	Kernel Fisher Discriminants and Kernel Nearest Neighbor Classifiers: A Comparative Study for Large-Scale Learning Problems.	IJCNN	2006	DBLP DOI BibTeX RDF
2	Jaepil Ko, Eunju Kim, Hyeran Byun	Improved N-Division Output Coding for Multiclass Learning Problems.	ICPR	2004	DBLP DOI BibTeX RDF
2	K. M. Lin, N. S. Chen	Exploring Learning Problems of Cyber University.	ICALT	2001	DBLP DOI BibTeX RDF
2	Yasubumi Sakakibara	Solving Computational Learning Problems of Boolean Formulae on DNA Computers.	DNA Computing	2000	DBLP DOI BibTeX RDF
2	Athanassios Papagelis, Dimitrios Kalles	GA Tree: genetically evolved decision trees.	ICTAI	2000	DBLP DOI BibTeX RDF	GA Tree, genetically evolved decision trees, classification decision tree evolution, standard discretized concept learning problems, C4 5, OneR, genetic algorithms, genetic algorithms, learning (artificial intelligence), decision trees, search problems, system performance
2	Jacek Jelonek, Jerzy Stefanowski	Experiments on Solving Multiclass Learning Problems by n2-classifier.	ECML	1998	DBLP DOI BibTeX RDF
1	Ofer Dekel, Ohad Shamir	There's a Hole in My Data Space: Piecewise Predictors for Heterogeneous Learning Problems.	Journal of Machine Learning Research - Proceedings Track	2012	DBLP BibTeX RDF
1	Ireneusz Czarnowski, Piotr Jedrzejowicz	Population-Based Multi-Agent Approach to Solving Machine Learning Problems.	Cybernetics and Systems	2011	DBLP DOI BibTeX RDF
1	Nelly Fazio, Kevin Iga, Antonio Nicolosi, Ludovic Perret, William E. Skeith III	Random Self-Reducibility Properties of Learning Problems over Burnside Groups of Exponent 3.	IACR Cryptology ePrint Archive	2011	DBLP BibTeX RDF
1	Gilbert Baumslag, Nelly Fazio, Antonio Nicolosi, Vladimir Shpilrain, William E. Skeith III	Generalized Learning Problems and Applications to Non-Commutative Cryptography.	IACR Cryptology ePrint Archive	2011	DBLP BibTeX RDF
1	Shivaram Kalyanakrishnan, Peter Stone	Characterizing reinforcement learning methods through parameterized learning problems.	Machine Learning	2011	DBLP DOI BibTeX RDF
1	Chia-Te Liao, Shang-Hong Lai	A novel robust kernel for visual learning problems.	Neurocomputing	2011	DBLP DOI BibTeX RDF
1	Wenzhi Chen, Hsien-Hui Tang	Exploring the Learning Problems and Resources Usage of Undergraduate Industrial Design Students in Design Studio.	HCI	2011	DBLP DOI BibTeX RDF
1	Gilbert Baumslag, Nelly Fazio, Antonio Nicolosi, Vladimir Shpilrain, William E. Skeith III	Generalized Learning Problems and Applications to Non-commutative Cryptography. (Extended Abstract)	ProvSec	2011	DBLP DOI BibTeX RDF
1	Thomas Kemmerich, Hans Kleine Büning	Coordination in Large Multiagent Reinforcement Learning Problems.	IAT	2011	DBLP DOI BibTeX RDF
1	Eike Kiltz, Krzysztof Pietrzak, David Cash, Abhishek Jain 0002, Daniele Venturi	Efficient Authentication from Hard Learning Problems.	EUROCRYPT	2011	DBLP DOI BibTeX RDF
1	Florin Leon, Andrei Dan Leca	Dual Manner of Using Neural Networks in a Multiagent System to Solve Inductive Learning Problems and to Learn from Experience.	IDC	2011	DBLP DOI BibTeX RDF
1	Rodrigo L. S. de Arruda, Fernando J. Von Zuben	A neural architecture to address Reinforcement Learning problems.	IJCNN	2011	DBLP DOI BibTeX RDF
1	Lei Xu	Machine learning problems from optimization perspective.	J. Global Optimization	2010	DBLP DOI BibTeX RDF
1	Luis A. Castillo, Lluvia Morales, Arturo González-Ferrer, Juan Fernández-Olivares, Daniel Borrajo, Eva Onaindia	Automatic generation of temporal planning domains for e-learning problems.	J. Scheduling	2010	DBLP DOI BibTeX RDF
1	Yurong Luo, Kayvan Najarian	Employing Decoding of Specific Error Correcting Codes as a New Classification Criterion in Multiclass Learning Problems.	ICPR	2010	DBLP DOI BibTeX RDF
1	Han Liu, Xi Chen	Multivariate Dyadic Regression Trees for Sparse Learning Problems.	NIPS	2010	DBLP BibTeX RDF
1	Risto Miikkulainen	Evolving neural networks.	GECCO (Companion)	2010	DBLP DOI BibTeX RDF	neural networks, evolutionary computation
1	Amelia Zafra, Sebastián Ventura	Grammar guided genetic programming for multiple instance learning: an experimental study.	GECCO	2010	DBLP DOI BibTeX RDF	multiple instance learning, rule learning, grammar guided genetic programming
1	Rameswar Debnath, Masakazu Muramatsu, Haruhisa Takahashi	Implementation Issues of Second-Order Cone Programming Approaches for Support Vector Machine Learning Problems.	IEICE Transactions	2009	DBLP BibTeX RDF
1	Akiko Takeda, Takafumi Kanamori	A robust approach based on conditional value-at-risk measure to statistical learning problems.	European Journal of Operational Research	2009	DBLP DOI BibTeX RDF
1	Catherine S. Fichten, Vittoria Ferraro, Jennison V. Asuncion, Caroline Chwojka, Maria Barile, Mai N. Nguyen, Ryan Klomp, Joan Wolforth	Disabilities and e-Learning Problems and Solutions: An Exploratory Study.	Educational Technology & Society	2009	DBLP BibTeX RDF
1	José Rafael Marques da Silva, Joaquim José Godinho, Ana Graça Filipe	E-problem: Electronic based resolution of learning problems.	IADIS AC	2009	DBLP BibTeX RDF
1	Hisashi Handa	Solving Multi-objective Reinforcement Learning Problems by EDA-RL - Acquisition of Various Strategies.	ISDA	2009	DBLP DOI BibTeX RDF
1	Daniel S. Yeung	Sensitivity Based Generalization Error for Supervised Learning Problems with Application in Feature Selection.	ADMA	2009	DBLP DOI BibTeX RDF
1	Risto Miikkulainen, Kenneth O. Stanley	Evolving neural networks.	GECCO (Companion)	2009	DBLP DOI BibTeX RDF	sequential decision tasks, neural networks, evolutionary computation, control, cognitive science
1	Tim Weninger, William H. Hsu, Jing Xia, Waleed Aljandal	An evolutionary approach to constructive induction for link discovery.	GECCO (Companion)	2009	DBLP DOI BibTeX RDF	machine learning, genetic programming, classifiation
1	Wenyuan Dai, Ou Jin, Gui-Rong Xue, Qiang Yang, Yong Yu	EigenTransfer: a unified framework for transfer learning.	ICML	2009	DBLP DOI BibTeX RDF
1	Hal Daumé III	Unsupervised search-based structured prediction.	ICML	2009	DBLP DOI BibTeX RDF
1	Shuiwang Ji, Jieping Ye	An accelerated gradient method for trace norm minimization.	ICML	2009	DBLP DOI BibTeX RDF
1	Jun Liu, Jieping Ye	Efficient Euclidean projections in linear time.	ICML	2009	DBLP DOI BibTeX RDF
1	Shahabudin Abd Latiff, Wan Fatimah Wan Ahmad, Subarna Sivapalan	Design and development process model of converting literature texts into graphical metaphor.	iiWAS	2009	DBLP DOI BibTeX RDF	Literature in English, course content, graphic metaphor, design model
1	Ye Chen, Dmitry Pavlov, John F. Canny	Large-scale behavioral targeting.	KDD	2009	DBLP DOI BibTeX RDF	grid computing, large-scale, behavioral targeting
1	Mike Staman	Converged communications, video and innovation in pedagogic settings.	SIGITE Conference	2009	DBLP DOI BibTeX RDF	collaborations, distance learning, videoconferencing
1	José Carlos Almeida Santos, Alireza Tamaddoni-Nezhad, Stephen Muggleton	An ILP System for Learning Head Output Connected Predicates.	EPIA	2009	DBLP DOI BibTeX RDF
1	Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir	Active Generation of Training Examples in Meta-Regression.	ICANN	2009	DBLP DOI BibTeX RDF
1	Luc De Raedt	The Logic of Learning.	ICFCA	2009	DBLP DOI BibTeX RDF
1	Taiji Suzuki, Masashi Sugiyama	Estimating Squared-Loss Mutual Information for Independent Component Analysis.	ICA	2009	DBLP DOI BibTeX RDF	Squared loss, Density ratio estimation, Independent component analysis, Mutual information, Cross-validation
1	Chunming Liu, Jinze Song, Xin Xu, Pengcheng Zhang	Reordering Sparsification of Kernel Machines in Approximate Policy Iteration.	ISNN	2009	DBLP DOI BibTeX RDF	Approximate policy iteration, Reinforcement learning, Sparsification
1	Shujing Yan, Minghu Ha, Xiankun Zhang, Chao Wang	The Key Theorem of Learning Theory on Uncertainty Space.	ISNN	2009	DBLP DOI BibTeX RDF	Uncertain measure, Expected risk functional, Empirical risk functional, Empirical risk minimization principle, the key theorem
1	Kun Zhao, Yingjie Tian, Naiyang Deng	Robust Unsupervised and Semi-supervised Bounded v - Support Vector Machines.	ISNN	2009	DBLP DOI BibTeX RDF	Bounded ?? support vector machines, Robust, Semi-supervised learning, Unsupervised learning, Semi-definite programming
1	José Antonio Martin H., Javier de Lope Asiaín, Darío Maravall	The kNN-TD Reinforcement Learning Algorithm.	IWINAC	2009	DBLP DOI BibTeX RDF
1	Simon Bernard, Laurent Heutte, Sébastien Adam	Influence of Hyperparameters on Random Forest Accuracy.	MCS	2009	DBLP DOI BibTeX RDF	Decision Trees, Supervised Learning, Ensemble Method, Random Forests
1	Tom Diethe, Zakria Hussain	Kernel Polytope Faces Pursuit.	ECML/PKDD	2009	DBLP DOI BibTeX RDF	Polytope Faces Pursuit, Orthogonal Matching Pursuit, Pseudo-dimension, Sample Compression Bounds, Regression, Kernel methods
1	Elena Marchiori	Graph-Based Discrete Differential Geometry for Critical Instance Filtering.	ECML/PKDD	2009	DBLP DOI BibTeX RDF
1	Martin Eric Müller	Modalities, Relations, and Learning.	RelMiCS	2009	DBLP DOI BibTeX RDF
1	Lopamudra Mukherjee, Vikas Singh, Jiming Peng, Jinhui Xu, Michael J. Zeitz, Ronald Berezney	Generalized median graphs and applications.	J. Comb. Optim.	2009	DBLP DOI BibTeX RDF	Median graph, Prototype building, Chromosome organization, Cell-nucleus imaging, Graph matching, Graph edit distance
1	Koichiro Yamauchi	Optimal incremental learning under covariate shift.	Memetic Computing	2009	DBLP DOI BibTeX RDF	Generalization capabilities, Student’s-t distribution, Model selection, Incremental learning, Radial basis function neural network (RBFNN), Covariate shift
1	Sethu Vijayakumar, Marc Toussaint, Georgios Petkos, Matthew Howard	Planning and Moving in Dynamic Environments.	Creating Brain-Like Intelligence	2009	DBLP DOI BibTeX RDF
1	Weijian Ni, Jun Xu, Hang Li, Yalou Huang	Group-based learning: a boosting approach.	CIKM	2008	DBLP DOI BibTeX RDF	group-based learning, boosting
1	Nate Kohl, Risto Miikkulainen	Evolving neural networks for fractured domains.	GECCO	2008	DBLP DOI BibTeX RDF	RBF networks, neuroevolution, NEAT
1	Daniele Loiacono, Pier Luca Lanzi	Recursive least squares and quadratic prediction in continuous multistep problems.	GECCO (Companion)	2008	DBLP DOI BibTeX RDF	multistep problems, learning classifier systems, recursive least squares
1	Risto Miikkulainen, Kenneth O. Stanley	Evolving neural networks.	GECCO (Companion)	2008	DBLP DOI BibTeX RDF	neural networks, robotics, games, evolutionary computation, control, neuroevolution
1	Rosane Maria Maffei Vallim, David E. Goldberg, Xavier Llorà, Thyago S. P. C. Duque, André C. P. L. F. Carvalho	A new approach for multi-label classification based on default hierarchies and organizational learning.	GECCO (Companion)	2008	DBLP DOI BibTeX RDF	default hierarchies, organizational sizing, LCS
1	Geoffrey J. Gordon, Amy Greenwald, Casey Marks	No-regret learning in convex games.	ICML	2008	DBLP DOI BibTeX RDF
1	Gholamreza Haffari, Yang Wang 0003, Shaojun Wang, Greg Mori, Feng Jiao	Boosting with incomplete information.	ICML	2008	DBLP DOI BibTeX RDF
1	Georg Heigold, Thomas Deselaers, Ralf Schlüter, Hermann Ney	Modified MMI/MPE: a direct evaluation of the margin in speech recognition.	ICML	2008	DBLP DOI BibTeX RDF
1	Tuyen N. Huynh, Raymond J. Mooney	Discriminative structure and parameter learning for Markov logic networks.	ICML	2008	DBLP DOI BibTeX RDF
1	Hugo Larochelle, Yoshua Bengio	Classification using discriminative restricted Boltzmann machines.	ICML	2008	DBLP DOI BibTeX RDF
1	Lihong Li, Michael L. Littman, Thomas J. Walsh	Knows what it knows: a framework for self-aware learning.	ICML	2008	DBLP DOI BibTeX RDF
1	Volker Roth, Bernd Fischer	The Group-Lasso for generalized linear models: uniqueness of solutions and efficient algorithms.	ICML	2008	DBLP DOI BibTeX RDF
1	Adam Tauman Kalai, Yishay Mansour, Elad Verbin	On agnostic boosting and parity learning.	STOC	2008	DBLP DOI BibTeX RDF	agnostic boosting, learning parity with noise, sub-exponential algorithms, agnostic learning
1	Shiva Prasad Kasiviswanathan, Homin K. Lee, Kobbi Nissim, Sofya Raskhodnikova, Adam Smith	What Can We Learn Privately?	FOCS	2008	DBLP DOI BibTeX RDF
1	Frederic Thouin, Mark Coates, Brian Eriksson, Robert D. Nowak, Clayton Scott	Learning to satisfy.	ICASSP	2008	DBLP DOI BibTeX RDF
1	Ioannis Rexakis, Michail G. Lagoudakis	Classifier-Based Policy Representation.	ICMLA	2008	DBLP DOI BibTeX RDF
1	Olga Krasotkina, Vadim Mottl	Adaptive nonstationary regression analysis.	ICPR	2008	DBLP DOI BibTeX RDF
1	Chia-Te Liao, Shang-Hong Lai	A novel robust kernel for appearance-based learning.	ICPR	2008	DBLP DOI BibTeX RDF
1	Nan Jiang, Zhaozhi Zhang, Xiaomin Ma, Jian Wang, Yixian Yang	Analysis of nonseparable property of multi-valued multi-threshold neuron.	IJCNN	2008	DBLP DOI BibTeX RDF
1	Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir	Active Meta-Learning with Uncertainty Sampling and Outlier Detection.	IJCNN	2008	DBLP DOI BibTeX RDF
1	Yan Luo, Jeffrey J. P. Tsai	A Framework for Extrusion Detection Using Machine Learning.	ISORC	2008	DBLP DOI BibTeX RDF	extrusion detection, machine learning, intrusion detection
1	Wei-Lun Chang	CoLeP: An Agent-Based Collaborative System for Pervasive Learning.	ITNG	2008	DBLP DOI BibTeX RDF	Collaborative learning system, informal learning, pervasive environment
1	Ricardo Bastos Cavalcante Prudêncio, Silvio B. Guerra, Teresa Bernarda Ludermir	Using Support Vector Machines to Predict the Performance of MLP Neural Networks.	SBRN	2008	DBLP DOI BibTeX RDF
1	Jer-Guang Hsieh, Yih-Lon Lin, Jyh-Horng Jeng	Preliminary Study on Wilcoxon Learning Machines.	IEEE Transactions on Neural Networks	2008	DBLP DOI BibTeX RDF
1	Yaochu Jin, Bernhard Sendhoff	Pareto-Based Multiobjective Machine Learning: An Overview and Case Studies.	IEEE Transactions on Systems, Man, and Cybernetics, Part C	2008	DBLP DOI BibTeX RDF
1	Paolo Soda	Facing Polychotomies through Classification by Decomposition: Applications in the Bio-medical Domain.	BIOSTEC (Selected Papers)	2008	DBLP DOI BibTeX RDF
1	José Luis Triviño-Rodriguez, Amparo Ruiz-Sepúlveda, Rafael Morales Bueno	How an Ensemble Method Can Compute a Comprehensible Model.	DaWaK	2008	DBLP DOI BibTeX RDF
1	Thomas Degris, Olivier Sigaud, Pierre-Henri Wuillemin	Exploiting Additive Structure in Factored MDPs for Reinforcement Learning.	EWRL	2008	DBLP DOI BibTeX RDF
1	Robby Goetschalckx, Scott Sanner, Kurt Driessens	Reinforcement Learning with the Use of Costly Features.	EWRL	2008	DBLP DOI BibTeX RDF
1	Xinwang Liu, Guomin Zhang, Yubin Zhan, En Zhu	An Incremental Feature Learning Algorithm Based on Least Square Support Vector Machine.	FAW	2008	DBLP DOI BibTeX RDF	Support Vector Machine, Incremental Learning, Least Square Support Vector Machine
1	Silvio B. Guerra, Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir	Predicting the Performance of Learning Algorithms Using Support Vector Machines as Meta-regressors.	ICANN	2008	DBLP DOI BibTeX RDF
1	Shahram Golzari, Shyamala Doraisamy, Md Nasir Sulaiman, Nur Izura Udzir, Noris Mohd. Norowi	Artificial Immune Recognition System with Nonlinear Resource Allocation Method and Application to Traditional Malay Music Genre Classification.	ICARIS	2008	DBLP DOI BibTeX RDF	AIRS, Nonlinear Resource allocation, Artificial Immune System, Music Genre Classification
1	Érick Alphonse, Aomar Osmani	A Model to Study Phase Transition and Plateaus in Relational Learning.	ILP	2008	DBLP DOI BibTeX RDF
1	Pedro Domingos, Stanley Kok, Daniel Lowd, Hoifung Poon, Matthew Richardson, Parag Singla	Markov Logic.	Probabilistic Inductive Logic Programming	2008	DBLP DOI BibTeX RDF
1	Paolo Frasconi, Manfred Jaeger, Andrea Passerini	Feature Discovery with Type Extension Trees.	ILP	2008	DBLP DOI BibTeX RDF
1	Petra Vidnerová, Roman Neruda	Testing Error Estimates for Regularization and Radial Function Networks.	ISNN	2008	DBLP DOI BibTeX RDF	Generalization, Regularization, Radial Basis Function Networks
1	Yann Chevaleyre, Aydano Machado, Jean-Daniel Zucker	Experiments with Adaptive Transfer Rate in Reinforcement Learning.	PKAW	2008	DBLP DOI BibTeX RDF
1	Francisco S. Melo, Manuel Lopes	Fitted Natural Actor-Critic: A New Algorithm for Continuous State-Action MDPs.	ECML/PKDD	2008	DBLP DOI BibTeX RDF
1	Jan Hendrik Metzen, Mark Edgington, Yohannes Kassahun, Frank Kirchner	Evolving Neural Networks for Online Reinforcement Learning.	PPSN	2008	DBLP DOI BibTeX RDF
1	Julian Togelius, Tom Schaul, Jürgen Schmidhuber, Faustino J. Gomez	Countering Poisonous Inputs with Memetic Neuroevolution.	PPSN	2008	DBLP DOI BibTeX RDF
1	Gauvain Bourgne, Amal El Fallah-Seghrouchni, Nicolas Maudet, Henry Soldano	Multiagent Incremental Learning in Networks.	PRIMA	2008	DBLP DOI BibTeX RDF